检索结果-内蒙古大学图书馆

Noisy component extraction with reference

Frontiers of Computer Science 2013年第1期7卷 135-144页

作者： Yongjian ZHAO Hong HE Jianxun Mi School of Information Engineering Shandong University Weihai 264209 China Bio-Computing Research Center Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China Key Laboratory of Network Oriented Intelligent Computation Shenzhen 518055 China

Blind source extraction （BSE） is particularly at- tractive to solve blind signal mixture problems where only a few source signals are desired. Many existing BSE methods do not take into account the existence of noise and can only work well in noise-free environments. In practice, the desired signal is often contaminated by additional noise. Therefore, we try to tackle the problem of noisy component extraction. The reference signal carries enough prior information to dis- tinguish the desired signal from signal mixtures. According to the useful properties of Gaussian moments, we incorporate the reference signal into a negentropy objective function so as to guide the extraction process and develop an improved BSE method. Extensive computer simulations demonstrate its validity in the process of revealing the underlying desired signal.

关键词： blind signal processing reference signal Gaus- sian moments negentropy objective function biomedical signal measure performance index

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Memristor-based hyper-chaotic circuit for image encryption

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Chinese Physics B 2020年第11期29卷 259-270页

作者： Jiao-Jiao Chen Deng-Wei Yan Shu-Kai Duan Li-Dan Wang College of Electronic and Information Engineering Southwest UniversityChongqing 400715China Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest UniversityChongqing 400715China Intelligent Transmission and Control Technology Joint Engineering Laboratory Chongqing 400715China Brain-inspired Computing and Intelligent Control Chongqing Key Laboratory Chongqing 400715China Chongqing Collaborative Innovation Center for Brain Science Chongqing 400715China School of Artificial Intelligence Southwest UniversityChongqing 400715China

The memristor is a kind of non-linear element with memory function,which can be applied to chaotic systems to increase signal randomness and *** this paper,a new four-dimensional hyper-chaotic system is designed based on a flux controlled memristor model,which can generate complex chaotic *** basic dynamic theory analysis and numerical simulations of the system,such as the stability of equilibrium points,the Lyapunov exponents and dimension,Poincare maps,the power spectrum,and the waveform graph prove that it has rich dynamic ***,the circuit implementation of this system is *** consistency of simulation program with integrated circuit emphasis(SPICE)simulation and numerical analysis proves the ability to generate ***,a new image encryption scheme is designed by using the memristor-based hyper-chaotic system proposed in this *** scheme involves a total of two *** using different security analysis factors,the proposed algorithm is compared with other image encryption schemes,including correlation analysis,information entropy,*** results show that the proposed image encryption scheme has a large key space and presents a better encryption effect.

关键词： memristor SPICE simulation hyper-chaotic system image encryption

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Accumulative energy-based seam carving for image resizing

Accumulative energy-based seam carving for image resizing

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作者： Lin, Yuqing Lin, Jiawen Niu, Yuzhen Zhang, Haifeng College of Mathematics and Computer Science Fujian Key Laboratory of Network Computing and Intelligent Information Processing Key Laboratory of Spatial Data Mining and Information Sharing Ministry of Education Fuzhou University Xueyuan Road #2 Fuzhou Fujian350106 China

With the diversified development of the digital devices, such as computer, mobile phone and television, how to resize an image or video to adapt to different display screens has been a heated topic. Seam carving does well in image resizing at most times, however, it sometimes produces discontinuity image content or impaired salient objects. Therefore, we propose an accumulative energy-based seam carving method for image resizing. We distribute the energy of each pixel on the seam to its adjacent 8-connected pixels to avoid the extreme concentration of seams. In addition, we add the image saliency and the edge information into the energy function to reduce the distortion. To compute more efficiently, we use parallel computing environment as well. Experimental results show that compared with the existing methods, our method can both avoid the discontinuity of image content and distortions as well as better maintain the shape of the salient objects. © 2020 Inderscience Enterprises Ltd.

关键词： Digital devices

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Energy-efficient VM placement algorithms for cloud data center 2nd

Energy-efficient VM placement algorithms for cloud data cent...

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2nd International Conference on Cloud computing and Big Data, CloudCom-Asia 2015

作者： Lin, Xiuyan Liu, Zhanghui Guo, Wenzhong Fujian Provincial Key Lab of the Network Computing and Intelligent Information Processing College of Mathematics and Computer Science Fuzhou University Fuzhou350116 China

ISBN: (纸本)9783319284293

Cloud is the computing paradigm which provides computing resource as a service through network. The client can use computing resource in a convenient and on-demand way, just like the water and the electricity we use daily. The mapping between virtual machine and physical machine is the key of the VM scheduling problem. Nowadays we advocate low-carbon life. It calls for the green cloud computing solutions whether protecting the environment or saving the cost of cloud suppliers. The proposed VM placement algorithm is energy-efficient, and considers the multi-dimentional resource constrains, such as CPU, memory, network bandwidth, and so on. The experimental results show that the proposed algorithms not only contribute a lot to energy saving, but also try best to meet the quality of service (QoS). Therefore, we make significant savings in operating cost and make full use of various resources in the cloud data center. The algorithm has promising prospect in application. © Springer International Publishing Switzerland 2015.

关键词： Virtual machine

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A Bayesian computational cognitive model

A Bayesian computational cognitive model

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3rd International Workshop on Neural-Symbolic Learning and Reasoning, NeSy 2007, Held at IJCAI 2007

作者： Shi, Zhiwei Hu, Hong Shi, Zhongzhi Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China Kexueyuan Nanlu #6 Beijing 100080 China

Computational cognitive modeling has recently emerged as one of the hottest issues in the AI area. Both symbolic approaches and connectionist approaches present their merits and demerits. Although Bayesian method is suggested to incorporate advantages of the two kinds of approaches above, there is no feasible Bayesian computational model concerning the entire cognitive process by now. In this paper, we propose a variation of traditional Bayesian network, namely Globally Connected and Locally Autonomic Bayesian network (GCLABN), to formally describe a plausible cognitive model. The model adopts a unique knowledge representation strategy, which enables it to encode both symbolic concepts and their relationships within a graphical structure, and to generate cognition via a dynamic oscillating process rather than a straightforward reasoning process like traditional approaches. Then a simple simulation is employed to illustrate the properties and dynamic behaviors of the model. All these traits of the model are coincident with the recently discovered properties of the human cognitive process.

关键词： Bayesian networks

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Simulating Maxwell-Schrodinger Equations by High-Order Symplectic FDTD Algorithm

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IEEE JOURNAL ON MULTISCALE AND MULTIPHYSICS COMPUTATIONAL TECHNIQUES 2019年 4卷 143-151页

作者： Xie, Guoda Huang, Zhixiang Fang, Ming Sha, Wei E., I Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China Key Laboratory of Micro-Nano Electronic Devices and Smart Systems of Zhejiang Province College of Information Science and Electronic Engineering Zhejiang University Hangzhou China

A novel symplectic algorithm is proposed to solve the Maxwell Schrodinger (M-S) system for investigating light-matter interaction. Using the fourth-order symplectic integration and fourth-order collocated differences, M-S equations are discretized in temporal and spatial domains, respectively. The symplectic finite-difference time-domain (SFDTD) algorithm is developed for accurate and efficient study of coherent interaction between electromagnetic fields and artificial atoms. Particularly, the Dirichlet boundary condition is adopted for modeling the Rabi oscillation problems under the semiclassical framework. To implement the Dirichlet boundary condition, image theory is introduced, tailored to the high-order collocated differences. For validating the proposed SFDTD algorithm, three-dimensional numerical studies of the population inversion in the Rabi oscillation are presented. Numerical results show that the proposed high-order SFDTD(4, 4) algorithm exhibits better numerical performance than the conventional FDTD(2, 2) approach at the aspects of accuracy and efficiency for the long-term simulation. The proposed algorithm opens up a promising way toward a high-accurate energy-conservation modeling and simulation of complex dynamics in nanoscale light-matter interaction.

关键词： Maxwell Schrodinger (M-S) equations nanoscale light-matter interaction Rabi oscillation symplectic finite-difference time-domain (SFDTD)

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Scheduling optimization for upstream dataflows in edge computing

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Digital Communications and networks 2023年第6期9卷 1448-1457页

作者： Haohao Wang Mengmeng Sun Lianming Zhang Pingping Dong Yehua Wei Jing Mei College of Information Science and Engineering Hunan Normal UniversityChangsha410081China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal UniversityChangsha410081China Hunan Xiangjiang Artificial Intelligence Academy Hunan Normal UniversityChangsha410081China

Edge computing can alleviate the problem of insufficient computational resources for the user equipment,improve the network processing environment,and promote the user *** computing is well known as a prospective method for the development of the Internet of Things(IoT).However,with the development of smart terminals,much more time is required for scheduling the terminal high-intensity upstream dataflow in the edge server than for scheduling that in the downstream *** this paper,we study the scheduling strategy for upstream dataflows in edge computing networks and introduce a three-tier edge computing network *** propose a Time-Slicing Self-Adaptive Scheduling(TSAS)algorithm based on the hierarchical queue,which can reduce the queuing delay of the dataflow,improve the timeliness of dataflow processing and achieve an efficient and reasonable performance of dataflow *** experimental results show that the TSAS algorithm can reduce latency,minimize energy consumption,and increase system throughput.

关键词： Edge computing Time-slicing Dataflow scheduling Dynamic analysis

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Monitoring the PSO process based on fuzzy random variables

Monitoring the PSO process based on fuzzy random variables

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2011 7th International Conference on Computational Intelligence and Security, CIS 2011

作者： Feng, J.Q. Xu, C. Xie, W.X. Institute of Intelligent Computing Science Shenzhen University Shenzhen China Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen Guangdong 518060 China

ISBN: (纸本)9780769545844

This paper presents a method for monitoring the particle swarm optimization process that accounts for the random nature of the system's external environment and the fuzzy character of the particles' decision-making process by regarding the fitness function as a fuzzy random variable. The belief level value and the Borel set of chance measures are also used to monitor the particle swarm optimization process and two simulation experiments show the congregate scenes of the particle swarm optimization. © 2011 IEEE.

关键词： Decision making

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Schedulability analysis for real-time messages over switched Ethernet with EDF scheduling

Schedulability analysis for real-time messages over switched...

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2nd International Conference on information Science and Engineering, ICISE2010

作者： Tan, Ming Wei, Zhen Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei China School of Computer and Information Hefei university of technology Hefei China

ISBN: (纸本)9781424480968

To overcome the drawback that switched Ethernet can not meet the real-time requirements in industrial communications, an improved message transmission model in which switch and the end-nodes control the real-time traffic with Earliest Deadline First (EDF) scheduling was proposed. In addition, a distributed admission control method for periodic messages which is performed by the source and the destination nodes without the modification of the operational features of Ethernet switch was presented. Moreover, a more general schedulability condition for real-time periodic message over switched Ethernet was given and proved by using real-time scheduling theory. © 2010 IEEE.

关键词： Scheduling algorithms

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Research on neural network based on the improved adaptive genetic algorithm

Research on neural network based on the improved adaptive ge...

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2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

作者： Wu, Xiao-Qin Song, Yin Key Laboratory of Network and Intelligent Information Processing Hefei University Hefei China Institute of Microelectronics Tsinghua University Beijing China

ISBN: (纸本)9781424445073

Considering the problem of the local optimization in the adaptive genetic algorithm (AGA) , this paper presents an improved adaptive genetic algorithm (IAGA) which can optimize the weights and thresholds of the neural network. A stock Prediction system based on neural networks and Fuzzy theory is designed. According to the analysis of the history data of the stock, the system predicts this stock's market trend of the following days and makes the decision support for the investors on the stock's market. The experimental results show that the proposed approach has high accuracy, strong stability and improved confidence. ©2009 IEEE.

关键词： Genetic algorithms

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